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Example_multiobjective.m
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Example_multiobjective.m
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%% Multi-objective example (optiGTest class)
% L. LAURENT -- 16/05/2018 -- luc.laurent@lecnam.net
% sources available here:
% https://bitbucket.org/luclaurent/optigtest/
% https://github.com/luclaurent/optigtest/
% optiGTest - set of testing functions A toolbox to easy manipulate functions.
% Copyright (C) 2018 Luc LAURENT <luc.laurent@lecnam.net>
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
% GNU General Public License for more details.
%
% You should have received a copy of the GNU General Public License
% along with this program. If not, see <http://www.gnu.org/licenses/>.
%% load the function
Fun=optiGTest('OsyczkaKundu');
%% Demo mode
Fun.demo
%% available dimensions (Inf= function defined for any dimension)
Fun.dimAvailable
%% Change dimension
Fun.dim=3;
%% evaluation of the function (responses and gradients)
X=[0 1 1 0 1 0;
3 4 5 1 -1 2;
6 7 8 9 1 -5];
% Z=responses, GZ=gradients (in cell) GZr=gradients (in array)
[Z,GZ,GZr]=Fun.evalObj(X);
Z
GZ
GZr
%% evaluation of the constraint function(s) (responses and gradients)
[Zc,GZc,GZrc]=Fun.evalCons(X);
Zc
GZc
GZrc
%% check constraint violation
CV=Fun.checkCons(X);
CV
%% check the function
Fun.checkPb
%% list available problems
dispAvailablePb